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Full-Text Articles in Entire DC Network
Design And Prototyping Of An Acoustic Positioning System For Gps-Denied Environment, Harley Hogan Garrett
Design And Prototyping Of An Acoustic Positioning System For Gps-Denied Environment, Harley Hogan Garrett
Electronic Theses and Dissertations
Finding the placement of sensors is known as sensor localization, and is a necessary task to ensure that a network is capable of array processing operations, such as direction of arrival measurements. This thesis proposes a method to perform sensor localization for a wireless sensor network using acoustics. Each sensor is equipped with a microphone, speaker, and processor. Using these, the proposed system is able to find the distance between each sensor and later the geometry of the network. A series of optimizations help reduce error and improve the final accuracy of the system to within 6.5 cm. The proposed …
Reading Teacher Perceptions: The Impact Of Educator Preparation Program Literacy Coursework And Clinical Experiences On Teacher Efficacy In Historically Underrepresented Populations, Emily Taubken
Electronic Theses and Dissertations
Despite research that indicates the critical importance and lifelong impact of early reading proficiency for students, national reading proficiency trends demonstrate most students in the United States are not yet reading at grade level, with disparities existing among historically underrepresented subgroups. Additionally, research shows that preservice and in-service teachers have documented limited feelings of self-efficacy in teaching reading specifically, suggesting limitations in preservice training for educators. To better understand how reading teachers perceive the efficacy of their preservice teacher academic and clinical experiences, especially for those who serve historically underrepresented student populations, this study seeks to document the perspectives of …
Knowledge Acquisition On Mass-Shooting Events Via Llms For Ai-Driven Justice, Benign Ihugba
Knowledge Acquisition On Mass-Shooting Events Via Llms For Ai-Driven Justice, Benign Ihugba
All Theses
Mass-shooting events pose a significant challenge to public safety because they generate large volumes of unstructured textual data, making it difficult to conduct effective investigations and formulate public policy. The proposed knowledge acquisition system utilized Large Language Models (LLMs) with few-shot prompting to extract vital information from news articles, police reports, and social media content at high speed. The system used entity recognition to detect vital information, which included offenders, victims, locations, and criminal instruments that support legal investigations. An experimental study conducted on actual mass-shooting datasets showed GPT-4o performs best for mass-shooting NER. The o1-mini delivered competitive performance while …
Automated Assessment Of Periapical Health Based On The Radiographic Periapical Index Using Yolov8, Yolov11, And Yolov12 One-Stage Object Detection Algorithms, Shehabeldin Mohamed Saber Prof.Dr., Ahmed A. Torky Phd
Automated Assessment Of Periapical Health Based On The Radiographic Periapical Index Using Yolov8, Yolov11, And Yolov12 One-Stage Object Detection Algorithms, Shehabeldin Mohamed Saber Prof.Dr., Ahmed A. Torky Phd
Dentistry
This study investigates the application of recent YOLO (You Only Look Once) algorithms for automated detection and classification of apical periodontitis using the Periapical Index (PAI) scoring system (1–5). A dataset of 699 digital periapical radiographs was collected from diverse sources, de-identified, and annotated by calibrated experts before splitting into training, validation, and testing sets. Three deep learning models (YOLOv8m, YOLOv11m, YOLOv12m) were trained and their performance was evaluated using Precision, Recall, F1 score, mean average precision (mAP50), Intersection over union (IoU), and confusion matrices. Two-sided McNemar’s exact test was further conducted to compare models on lesion-level outcomes. The results …
Stochastic Functional Data-Driven Models For Real-Time Battery Health Forecasting Under Dynamic Operating Conditions, Joshua Owusu
Stochastic Functional Data-Driven Models For Real-Time Battery Health Forecasting Under Dynamic Operating Conditions, Joshua Owusu
Electronic Theses and Dissertations
This thesis provides an effective statistical model to predict the real-time state of lithium-ion batteries for reliable Battery Management Systems (BMS). It highlights battery data (voltage, current, temperature) as smooth functional curves. The principal method demonstrates diminishing trends to health outcomes like State of Health (SoH) and Remaining Useful Life (RUL) by employing Functional Principal Component Analysis (FPCA) and Bayesian Functional Linear Models (FLMs). The primary objective is to figure out how uncertain forecasts are. Simulations demonstrate that the highest accuracy (lowest MSE) is achieved through low noise levels along with large sample sizes. The final system provides a highly …
The Development Of Teacher-Student Relationships In The Elementary School Setting And Their Influence On The Whole Child, Jana H. Kline
The Development Of Teacher-Student Relationships In The Elementary School Setting And Their Influence On The Whole Child, Jana H. Kline
Electronic Theses and Dissertations
The relationship students have with teachers can influence their social development, behavior, and academic performance. Some teachers naturally build positive relationships with students while others may not realize the importance or know how to build them unless specific strategies are given. The purpose of this phenomenological, qualitative research study was to examine teacher perceptions of the development of relationships with students in the elementary school setting and their influence on the whole child.
To address this purpose, data collection strategies included individual interviews with elementary school teachers. Analysis of data involved transcribing interviews and line-by-line coding. Themes regarding teacher-student relationships …
Visualizing The Fretboard: Arpeggiated Patterns, Muscle Memory, And Neurocognitive Strategies For The 5-String Electric Bass, Matthew Alexander Woisin
Visualizing The Fretboard: Arpeggiated Patterns, Muscle Memory, And Neurocognitive Strategies For The 5-String Electric Bass, Matthew Alexander Woisin
Electronic Theses and Dissertations
Proficient navigation of the 5-string electric bass requires a comprehensive mastery of various techniques and a solid understanding of music theory. This includes a detailed grasp of arpeggios, chord extensions, and the development of deeply ingrained muscle memory for precise execution. This thesis introduces a structured methodology that refines existing fretboard visualization techniques and applies a unique manner of fretboard mapping, offering a more precise framework for comprehending and unlocking the full range of the instrument. By drawing insights from music theory, music education, cognitive science, neuroscience, and technology this approach is achieved by synthesizing research on visual pattern recognition, …
Llu Dentistry 2025 Winter Edition, Loma Linda University School Of Dentistry
Llu Dentistry 2025 Winter Edition, Loma Linda University School Of Dentistry
Articulator (Dentistry)
In this issue:
4 | Dean's Message
5 | Transforming the Future of Dental Education: The Strategic Vision and Growth Plan
8 | Honoring a Legacy of Excellence: Celebrating Leif K. Bakland, DDS
12 | Transitions
14 | Welcome New Faculty
16 | Celebrating Excellence in Dentistry: 2025 ICD USA Section Annual Meeting & Convocation
18 | LLUSD faculty publish study on Dental Unit Waterline treatment in the Journal of the American Dental Association
21 | Celebrating 15 Years of PNAM Treatment at LLUSD
23 | A Journey of Healing: Shirely's Transformation
24 | Exploring Future Careers in STEM: The …
Examining The Relations Between Parenting Stress, Harsh Parenting Practices, And Children’S Internalizing And Externalizing Symptoms, Caitlin A. Wharton
Examining The Relations Between Parenting Stress, Harsh Parenting Practices, And Children’S Internalizing And Externalizing Symptoms, Caitlin A. Wharton
Individual, Family, and Community Education ETDs
This study examines: relations between maternal parenting stress in infancy and preschool-aged children’s internalizing and externalizing symptoms; whether verbal and physical harsh parenting practices mediate these relations; and whether these relations are moderated by child gender. Research links maternal parenting stress to harsh parenting, which is a risk factor for children’s internalizing and externalizing symptoms. But limited research has examined how maternal stress in infancy affects preschool-aged children’s outcomes, or how verbal and physical harsh parenting practices independently affect these outcomes. The study data came from the Future of Families & Child Wellbeing Study. Results indicate maternal parenting stress in …
Thesis A Reimagined World Language Curriculum For Secondary Education-Does Culture Matter?, Florence Duncan
Thesis A Reimagined World Language Curriculum For Secondary Education-Does Culture Matter?, Florence Duncan
Teacher Education, Educational Leadership & Policy ETDs
The focus of this study is culture within the New Mexico high school world language
curriculum. Culture, as a topic, over time has evolved from near nonexistence to
becoming a fundamental element helping students derive multilingual and multicultural
understanding.
This study is an effort to reveal practices high school teachers use to teach, discuss and
evaluate cultural understanding. It uses qualitative interviews with high schools world
language teachers. Practices are evaluated against research findings and analyzed for
reliability and effectiveness. Findings will help with curriculum design for world language
application.
Overall, the study’s findings were positive. Interviewed teachers generally incorporate …
Flood-Level Estimation Using Aerial Imagery, Yisen Zhang
Flood-Level Estimation Using Aerial Imagery, Yisen Zhang
Electrical & Computer Engineering Projects for D. Eng. Degree
Reliable flood-level estimation using aerial UAV (Unmanned aerial vehicle) imagery is essential for effective post-disaster assessment and rapid emergency response. This study utilizes a UAV-based dataset, referred to as the UVA dataset, which integrates multiple public datasets and manually labeled UAV images, together with a multi-stage vehicle-centric framework for flood-depth estimation. The UVA dataset integrates images from multiple public sources, including Unmanned Drone Water Assessment (UDWA), Unmanned Aerial Vehicle Detection and Tracking (UAVDT), Car Parking Lot (CARPK), and additional UAV-view images collected from the internet, followed by manual annotation for water depth, viewing angle, and altitude labels. In the proposed …
An Analysis Of Portuguese Colonial Representations Of Sinhalese Women, Chandra R. De Silva, Ramani Hettiarchchi
An Analysis Of Portuguese Colonial Representations Of Sinhalese Women, Chandra R. De Silva, Ramani Hettiarchchi
History Faculty Publications
The history of Sri Lanka until recently has been written mostly as the history of men in the country. This has been particularly true of the early modern period, for which existing records are mostly those of visiting colonizers who were mostly men, writing about their dealings with those in power or with those from whom they could gain profit. This article is an attempt to collect and analyze the admittedly limited data on how the Portuguese who gained political authority over parts of the coastal areas saw local women. It is limited to the women of the majority community …
Early Childhood Educators' Perception Of Burnout: Impact On Educator Self-Efficacy, Teacher-Child Relationships, And Children's Emotional Regulation, Isaac M.D. Bowman
Early Childhood Educators' Perception Of Burnout: Impact On Educator Self-Efficacy, Teacher-Child Relationships, And Children's Emotional Regulation, Isaac M.D. Bowman
College of Education and Human Sciences: Dissertations, Theses, and Student Research
Early childhood educators (ECE) play a critical role in the academic advancement and nurturing care provided to children in their care, a distinct difference in role and responsibilities compared to traditional K-12 schooling. Published by the Buffett Early Childhood Institute, a report pertaining to ECE turnover revealed a nearly 40% annual turnover rate. Factors ECEs previously attributed to their exit of the early childhood education field involve low wage, low self-efficacy, and dealing with challenging behaviors. While not an exhaustive list, in a field relying predominantly on routine and consistency, ECE turnover rate highlights a necessity in exploring potential indirect …
Assessing The Language And Reading Abilities Of Students With Mosaic Down Syndrome, Emma G. Conradi
Assessing The Language And Reading Abilities Of Students With Mosaic Down Syndrome, Emma G. Conradi
College of Education and Human Sciences: Dissertations, Theses, and Student Research
Language and reading are important skills for academic and social success, yet individuals with Down syndrome often face significant challenges developing these skills (Abbeduto et al., 2007; Martin et al., 2009). However, almost all the available research on the language and reading abilities of individuals with Down syndrome comes from research focused on individuals with Full Trisomy 21. To date, there has been virtually no research specifically examining the language and reading skills of individuals with mosaic Down syndrome (Buckley & Bird, 2002), a rare karyotype of Down syndrome. Therefore, the purpose of this study is to describe the language …
Investigating Molecular Rotation And Vibration With Ultrafast Electron Diffraction, Haoran Zhao
Investigating Molecular Rotation And Vibration With Ultrafast Electron Diffraction, Haoran Zhao
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Ultrafast electron diffraction (UED) has emerged since the late 20th century as a powerful technique for resolving molecular dynamics. With its high spatial and temporal resolution, UED can now measure rotational motion induced by linearly polarized, nonresonant, nonadiabatic laser pulses—one of the fundamental molecular degrees of freedom with broad applications. By combining laser-induced alignment with UED, new capabilities such as three-dimensional structural retrieval and isotope detection have been demonstrated, as discussed in Chapter 2.
In Chapter 3, three symmetry relations in the coefficients of rotational wave packets are identified and derived, reducing the computational cost of simulating asymmetric-top molecular alignment …
Ai-Enabled Robotic Nitrogen Management, Ankita Kalra
Ai-Enabled Robotic Nitrogen Management, Ankita Kalra
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Nitrogen management in corn agriculture faces economic and environmental challenges, motivating development of precision, site-specific solutions. This dissertation presents AIR-N (AI-Enabled Robotic Nitrogen Management), a novel system that integrates cloud-based artificial intelligence with an autonomous field robot (Flex-Ro) to optimize nitrogen fertilizer application in real time. The research is driven by the need to improve nitrogen use efficiency while reducing leaching and emissions.
Comprehensive architecture (Cloud-E) was designed using Amazon Web Services to ingest multi-modal agronomic data (soil sensors, crop reflectance, weather) and host machine learning models. A Random Forest-based model was trained on historical field data to predict spatially …
From Vision To Practice: Implementing An Instructional Model Through Teacher Experience And Leadership Support, Stefanie Novotny
From Vision To Practice: Implementing An Instructional Model Through Teacher Experience And Leadership Support, Stefanie Novotny
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Implementing change in any organization is challenging. It requires careful planning, effective communication, and strong leadership. Principals provide support and empower stakeholders to take ownership of the change process. They create opportunities for others to contribute ideas, take on leadership roles, and drive innovation, fostering a culture of shared responsibility and collective action. Change leaders inspire creativity and encourage teachers to think outside the box, leading to the development of new ideas and processes that drive growth and success. This mixed-methods action research study investigated how teachers can enhance educational practices by implementing an instructional model to improve teaching strategies …
Rainfall-Runoff Modelling In An Indonesian Humid Tropical Area Using Satellite-Based Precipitation Products, Noordiah Helda
Rainfall-Runoff Modelling In An Indonesian Humid Tropical Area Using Satellite-Based Precipitation Products, Noordiah Helda
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This dissertation explores three rainfall-runoff models in the humid tropical regions of Indonesia using satellite-based precipitation products (SBPPs) and develops integrated machine-learning modeling frameworks. Several ground-based observations from BMKG (Badan Meteorologi, Klimatologi, dan Geofisika (also known as the Indonesian Agency for Meteorology, Climatology, and Geophysics)) stations across Indonesia (133−165 stations) are compared and evaluated against satellite products, indicating that GPM performs well, with R-squared values ranging from 0.54 to 0.76 and correlation coefficients ranging from 0.45 to 0.69, respectively.
In the Martapura Watershed, South Kalimantan, due to a lack of observational discharge data, streamflow was generated using the FJ Mock …
Global, Continental, And Local Scale Paleoenvironmental Reconstruction Methods For Interpreting The History Of Miocene North America And The Great Plains, Willow Hue Nguy
Global, Continental, And Local Scale Paleoenvironmental Reconstruction Methods For Interpreting The History Of Miocene North America And The Great Plains, Willow Hue Nguy
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
The Miocene of North America is characterized by dynamic changes in herbivore communities, habitat composition, and global climate. Long-term cooling and drying trends influenced large changes in floral and faunal communities. The Great Plains, North America shifted from closed-canopy biomes to open-canopy biomes with C3-grasses to biomes with C4-grasses. This shift affected the herbivore communities as browsing-adapted ungulates were replaced by grazing-adapted ungulates. Much focus has centered on the Great Plains, so it is not well understood how the changes in biomes compare to other regions of North America. The models used for vegetation density indicate open-canopy biomes since at …
Residential Hvac Installation Faults: Field Prevalence, Drivers, And Energy Impacts, Seyed Ali Rooholghodos
Residential Hvac Installation Faults: Field Prevalence, Drivers, And Energy Impacts, Seyed Ali Rooholghodos
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Faults in residential comfort systems can have detrimental effects on the performance of the system, reducing the energy efficiency, affecting indoor comfort, and shortening equipment lifespan. Many of the faults occur at installation. However, there has not previously been a systematic and nationally representative study to indicate the prevalence of the faults, meaning the distribution of faults by fault type and fault intensity. Understanding true fault prevalence is essential to be able to identify derivers, and to assess the incremental electricity consumption of the new installation systems.
This study presents on-site data from 341 new central cooling systems—air conditioners and …
Resources For The Beginning And Intermediate Jazz Educator: Reviews Of Modern Resources And Implementation In The Classroom, Bryan Canonigo
Resources For The Beginning And Intermediate Jazz Educator: Reviews Of Modern Resources And Implementation In The Classroom, Bryan Canonigo
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This document is a compilation and discussion of different modern jazz education resources geared towards beginning and intermediate students. It is intended for the younger high school jazz educator who may have just started their careers and are searching for new(er) resources to aid their teaching and rehearsal techniques. For the seasoned high school jazz educator, this document may suggest additions to their current lesson plans and/or updates to their current resource compilations and rehearsal practices. A primary goal of this document is to suggest ideas to aid these educators in teaching jazz music more wholistically, in small or large …
Advancing Precision Agriculture Through The Application Of Remote Sensing Technologies In Plant Health Assessment, Thomas Wilbur Davis
Advancing Precision Agriculture Through The Application Of Remote Sensing Technologies In Plant Health Assessment, Thomas Wilbur Davis
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Monitoring plant health, including nutritional status assessment, is an important component of crop management decisions. This doctoral document addresses the use of agricultural remote sensing through focused investigations of plant disease detection and nutrient status assessment technologies that advance precision agriculture. The first chapter provides a comprehensive overview of remote sensing technologies in agriculture and examines current capabilities, limitations, and future directions. The final two chapters address studies that evaluated the virus-nitrogen interaction in wheat and compared methods to determine the nitrogen status of midseason field corn.
The first study evaluated the wheat streak mosaic virus (WSMV) × nitrogen interaction …
Detecting Prescribed Fire, Haying And Grazing Events Via Remote Sensing To Create Grassland Disturbance Landcovers For The Ring-Necked Pheasant (Phasianus Colchicus), Megan A. Baldissara
Detecting Prescribed Fire, Haying And Grazing Events Via Remote Sensing To Create Grassland Disturbance Landcovers For The Ring-Necked Pheasant (Phasianus Colchicus), Megan A. Baldissara
School of Natural Resources: Dissertations, Theses, and Student Research
This dissertation developed disturbance detection models to fulfill the need for remote sensing landcover products describing grassland structure. The use of landcover products derived from remote sensing is increasing over time in pheasant (Phasianus colchicus) research. Such landcover, however, does not provide relevant pheasant structural habitat information (Chapter 1). Pheasants require tall, high-density grassland for nesting, tall grassland with medium density for brood rearing, and tall grassland for wintering. Time since disturbance can serve as a proxy for structure, as it shapes vegetation by removing biomass and resetting succession. Disturbance is easier to detect than structure with current …
On Bayesian Empirical Likelihood-Based Method For Complex Survey Data With Application To Non-Probability Sampling, Md Hasibur Rahman
On Bayesian Empirical Likelihood-Based Method For Complex Survey Data With Application To Non-Probability Sampling, Md Hasibur Rahman
Department of Statistics: Dissertations, Theses, and Student Research
This thesis develops a Bayesian empirical likelihood (BEL) framework for inference under complex survey designs and extends it to non-probability sampling. Parametric likelihood based methods are difficult to apply to complex survey data because the likelihood is rarely available in closed form. EL provides a flexible alternative by replacing the parametric likelihood with an empirical likelihood constructed from moment conditions. The proposed method first integrates empirical likelihood constraints with survey design features then extends BEL to non-probability sampling through selection models and design consistent restrictions. Posterior inference is carried out using a Metropolis–Hastings MCMC algorithm. A real-data analysis further illustrates …
The Urban Heat Island And Its Role In Shaping Convective Environments: An Observational Study, Benjamin W. Moll
The Urban Heat Island And Its Role In Shaping Convective Environments: An Observational Study, Benjamin W. Moll
Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research
The continued spread of urbanization and its well-documented effects on regional weather and climate necessitate further research. Urban environments are often warmer and drier than their rural surroundings. This trade-off between a warmer but drier environment could have a complex impact on deep convection and its initiation. Previous studies have noted significant changes in precipitation patterns around cities as well as changes to ongoing deep convection. Given the well-documented theory and past research, it is hypothesized here that urban areas have a significant impact on the PBL thermodynamics of convective environments. The urban heat island (UHI) component of the Micro …
Losing Control: Evaluative Access And The Limits Of Attributability In Angela Smith’S Theory Of Moral Responsibility, Henry Kissam
Losing Control: Evaluative Access And The Limits Of Attributability In Angela Smith’S Theory Of Moral Responsibility, Henry Kissam
Honors Theses
The unwilling addict agent archetype–who wholeheartedly resolves to abstain from taking a drug but takes it regardless–is important to moral responsibility theorists for many reasons, but two in particular stand head-and-shoulders above the rest. The first is the frequency with which the archetype must be reckoned with through our everyday practices of moral assessment. It is not an idle thought experiment, pushing nothing but the theoretical limits of a particular theory. It is a near-ubiquitous presence in real, practical moral assessment. The second reason is a consequence of the first. Because we deal with the archetype frequently, we morally assess …
Efficient Algorithms For Mitigating Uncertainty And Risk In Reinforcement Learning, Xihong Su
Efficient Algorithms For Mitigating Uncertainty And Risk In Reinforcement Learning, Xihong Su
Doctoral Dissertations
Reinforcement learning~(RL) studies the methodologies of improving the performance of sequential decision-making for autonomous agents and has achieved remarkable success in domains such as games, robotics, autonomous systems, finance, and healthcare. The Markov Decision Process~(MDP) is a mathematical framework for modeling agent-environment interactions in sequential decision-making problems. There are two primary sources of uncertainty in RL: epistemic uncertainty and aleatoric uncertainty. In RL, risk refers to the potential for an agent's policy to lead to undesirable outcomes, especially when the environment is uncertain. In many domains, researchers seek policies that maximize the objectives while mitigating the uncertainty and risk in …
Teachers' Evaluation And Reporting Orientations And Their Impact On Elementary Students' Motivation: A Secondary Analysis Of Ecls-K: 2011 Data, Melissa L. Lefebvre
Teachers' Evaluation And Reporting Orientations And Their Impact On Elementary Students' Motivation: A Secondary Analysis Of Ecls-K: 2011 Data, Melissa L. Lefebvre
Doctoral Dissertations
Few studies examine the specific component of teacher evaluation and reporting and its relationship with student motivation. Student motivation to learn and achieve is a fundamental element of academic success in school. Motivation has been linked to educational outcomes like curiosity, persistence, learning, conceptual understanding, and long-term achievement (Vallerand et al., 1992). Diminished motivation can lead to consequences such as higher dropout rates and increased anxiety. Research indicates that classroom climate and student-teacher relationships have the most significant impact on student motivation (Jansen et al., 2022). This dissertation explores the association of teachers’ evaluation and reporting practices with student motivation. …
Focal Engine: Filling A Gap Between Game Engines And Big-Data Scientific Visualization Packages, Kindrat Beregovyi
Focal Engine: Filling A Gap Between Game Engines And Big-Data Scientific Visualization Packages, Kindrat Beregovyi
Doctoral Dissertations
This dissertation presents Focal Engine, a novel 3D visualization engine designed to bridge the gap between game engines and scientific visualization tools. Game engines offer accessible interfaces and high-performance rendering but struggle with large-scale scientific datasets, while tools like ParaView and VTK handle complex data structures effectively but lack intuitive editing capabilities and modern rendering features. Focal Engine combines the accessibility and rendering performance of game engines with the data handling capabilities and analytical tools of scientific visualization platforms. The engine's capabilities are validated through multiple applications and projects, for example: HabiCAT 3D performs 3D complexity measurements on ocean floor …
Ecotheology For Kids, Lana Glenn
Ecotheology For Kids, Lana Glenn
Theses
This project includes research into the eco-anxiety of children and how ecotheology may help ease the children’s minds. This project is meant as a sign of hope in the climate crisis; there are so many reasons to look forward to ecological improvements for the Earth. As adults, we should remind children of these reasons to be hopeful for the future. This 24-page book has illustrations with prayers to help calm the readers, while the cover is informational and inviting.